Retrieves and formats details for a specific open position.
AI agents call get_open_position to retrieve information from Alpaca MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to fetch and display information about an open trading position. It has no capability to execute trades, modify positions, delete data, or move funds. The blast radius of misuse is minimal—an AI agent could only retrieve position information that already exists, not alter it or trigger financial transactions. The severity is low as this is purely informational data retrieval.
From the tool's definition Tool name 'get_open_position' and description 'Retrieves and formats details for a specific open position' indicate a query operation that returns position data without modification or side effects.
Attacks that exploit this kind of access
Retrieves and formats details for a specific open position. It is categorised as a Read tool in the Alpaca MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Alpaca MCP Server MCP server in PolicyLayer and add a rule for get_open_position: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Alpaca MCP Server. Nothing to install.
get_open_position is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_open_position rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_open_position. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_open_position is provided by the Alpaca MCP Server MCP server (metachain-org/alpaca-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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